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MASS
2010
160views Communications» more  MASS 2010»
15 years 2 months ago
Dynamic operator replacement in sensor networks
We present an integrated approach for supporting in-network sensor data processing in dynamic and heterogeneous sensor networks. The concept relies on data stream processing techni...
Moritz Striibe, Michael Daum, Rüdiger Kapitza...
CVPR
2006
IEEE
16 years 6 months ago
3D People Tracking with Gaussian Process Dynamical Models
We advocate the use of Gaussian Process Dynamical Models (GPDMs) for learning human pose and motion priors for 3D people tracking. A GPDM provides a lowdimensional embedding of hu...
Raquel Urtasun, David J. Fleet, Pascal Fua
ICASSP
2009
IEEE
15 years 11 months ago
Real-time dynamic MR image reconstruction using Kalman Filtered Compressed Sensing
In recent work, Kalman Filtered Compressed Sensing (KF-CS) was proposed to causally reconstruct time sequences of sparse signals, from a limited number of “incoherent” measure...
Chenlu Qiu, Wei Lu, Namrata Vaswani
GECCO
2007
Springer
163views Optimization» more  GECCO 2007»
15 years 10 months ago
Discovering event evidence amid massive, dynamic datasets
Automated event extraction remains a very difficult challenge requiring information analysts to manually identify key events of interest within massive, dynamic data. Many techniq...
Robert M. Patton, Thomas E. Potok
SC
1995
ACM
15 years 7 months ago
I/O Limitations in Parallel Molecular Dynamics
Abstract We discuss data production rates and their impact on the performance of scientific applications using parallel computers. On one hand, too high rates of data production c...
Terry W. Clark, L. Ridgway Scott, Stanislaw Wloked...